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Data Engineer

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data, and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.

Join our dynamic team as a Data Engineer and be at the forefront of driving data innovation across diverse business sectors.

This role offers the opportunity to work on cutting-edge data solutions, leveraging the latest technologies to solve complex problems and make a tangible impact. You'll collaborate with talented professionals, enhance your skills, and contribute to meaningful projects that shape the future of our clients.

If you're passionate about data and eager to grow in a supportive and forward-thinking environment, this is the perfect opportunity for you.

Here’s what the role looks like: 

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Implement data solutions across various business sectors to support analytics and reporting
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Optimise data storage and retrieval processes for efficiency and performance
  • Ensure data quality and integrity through rigorous validation and cleansing
  • Develop and maintain data models and data warehouses
  • Monitor and troubleshoot data workflows to ensure smooth operation
  • Stay updated with the latest data engineering trends and technologies

Here are the key skills and experience relevant to this role:  

  • A degree in Computer Science, Data Science, or a related field
  • Proven experience as a Data Engineer or similar role, with expertise in designing and implementing data solutions
  • Proficiency in programming languages such as SQL, Python, Java, or ML
  • Experience with data warehousing, ETL processes, and data modelling
  • Familiarity with cloud platforms (e.g., Azure, AWS) and data analytics tools
  • Good communication skills and the ability to work collaboratively in a team environment
  • Strong analytical and problem-solving skills, with attention to detail

At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive teams where we are all encouraged to contribute to achieve success.  

We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life. 

In addition to a Competitive Salary, here's what you can expect as part of our benefits package: 

Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. 

Flexible working: Flexible work arrangements to support your work-life balance.  We can’t promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. 

A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes.

At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. 

If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments. 

What You Should Know About Data Engineer, Sword Group

Join Sword as a Data Engineer and dive into the world of data innovation! At Sword, we take pride in being a leading provider of business technology solutions across the Energy, Public, and Finance Sectors. Our goal is to drive transformational change by harnessing the power of technology and domain expertise to solve complex business challenges. As a Data Engineer, you’ll be working with cutting-edge technologies to design, develop, and maintain scalable data pipelines and ETL/ELT processes. Your role will involve implementing effective data solutions, optimizing data storage, and ensuring data quality—helping our clients enhance their analytics and reporting capabilities. You’ll collaborate with talented professionals across various teams, which means you’ll have ample opportunities to learn and grow. Here at Sword, we understand the importance of personal growth and offer a tailored career development plan to support your professional journey. Plus, we encourage a flexible work environment to promote work-life balance. If you have a passion for data and are eager to make a notable impact, we invite you to explore this opportunity further.

Frequently Asked Questions (FAQs) for Data Engineer Role at Sword Group
What are the responsibilities of a Data Engineer at Sword?

As a Data Engineer at Sword, your primary responsibilities will include designing, developing, and maintaining scalable data pipelines and ETL/ELT processes. You'll implement data solutions that enhance analytics and reporting across various sectors, optimize data storage for efficiency, ensure data quality, develop data models, and troubleshoot data workflows. This role gives you the chance to have a direct impact on our clients' success.

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What qualifications do I need to apply for the Data Engineer position at Sword?

To be considered for the Data Engineer role at Sword, you should hold a degree in Computer Science, Data Science, or a related discipline. Candidates should have proven experience as a Data Engineer and must be skilled in programming languages such as SQL, Python, or Java. Experience with data warehousing and ETL processes is essential, alongside familiarity with cloud platforms like Azure or AWS.

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How does Sword support the career development of a Data Engineer?

Sword is committed to the growth of its employees, especially those in the Data Engineer role. We provide personalized career development plans tailored to individual goals and aspirations, along with a range of learning opportunities. Our culture encourages employee development, ensuring you have the resources and support to advance your career.

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What technologies do Data Engineers at Sword commonly work with?

Data Engineers at Sword frequently work with a variety of technologies including programming languages like SQL and Python, as well as data analytics tools. Experience with cloud platforms such as Azure or AWS is also crucial for implementing our data solutions. Staying updated with data engineering trends is an essential part of your work.

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Is there a flexible working option for Data Engineers at Sword?

Yes, Sword understands the importance of work-life balance and offers flexible working arrangements for Data Engineers. While we strive to accommodate individual preferences, we also encourage open communication about your needs when discussing your work schedule.

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Common Interview Questions for Data Engineer
Can you describe your experience with data pipelines in your previous roles?

When answering this question, provide specific examples of data pipelines you have designed or maintained. Discuss the technologies used, such as SQL or Python, and explain how your contributions affected the overall efficiency and data quality.

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What ETL processes have you implemented, and what challenges did you face?

Be prepared to discuss your understanding of ETL processes, including the challenges you encountered. Focus on your problem-solving skills, and use a specific example to illustrate how you overcame obstacles during implementation.

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How do you ensure data quality and integrity?

Explain your methods for validating and cleansing data. Discuss the tools or frameworks you employ to maintain rigorous standards, and emphasize your attention to detail in ensuring data accuracy and reliability.

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What cloud platforms have you worked with, and how did they enhance your data engineering projects?

Mention specific projects where cloud platforms like Azure or AWS played a critical role in data management. Describe how these platforms improved scalability, performance, and storage solutions in your previous work.

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Can you give an example of a collaborative project you worked on with cross-functional teams?

Share a story about a project where you collaborated effectively with other teams, like analysts or software developers. Highlight the outcome of the project and how teamwork contributed to its success.

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How do you stay updated with the latest data engineering trends and technologies?

Discuss how you actively seek professional development opportunities, such as attending workshops, webinars, or following industry publications. Mention any communities or forums you participate in to keep your knowledge current.

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What programming languages are you most proficient in and how do you use them in data engineering?

List the programming languages you excel in, such as SQL or Python, and describe specific projects where you utilized these skills. Give examples of how they helped in building pipelines or managing data.

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Describe a complex data problem you solved. What approach did you take?

Choose a situation where you faced a significant data-related challenge. Outline the steps you took to analyze the problem, the solution you implemented, and the impact it had on the project or organization.

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How do you approach optimizing data storage and retrieval processes?

Explain your strategies for optimizing storage, whether through data modeling or leveraging specific tools. Detail any instances where your optimizations led to improved performance metrics.

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What role does documentation play in your work as a Data Engineer?

Highlight the importance of documentation in ensuring clarity and continuity in data engineering projects. Discuss how you keep records of processes, workflows, and data transformations to facilitate team collaboration.

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Sword has 2,200+ (after disposal) IT/Digital & Software specialists present over 5 continents to accompany you in the growth of your organization in the digital age. As a leader in technological and digital transformation, Sword has a solid reputa...

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Full-time, remote
DATE POSTED
March 19, 2025

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